Senior Solution Architect (AI)

Location: Paris, France, with regular travel to client sites in the Paris area

Company

hirify.global is a global management consulting group whose AI Platforms Business Unit designs, builds, and scales data and AI platforms for enterprise transformation.

What you will do

• Define and own end-to-end technical architectures for data and AI projects, including cloud infrastructure, data pipelines, model serving, generative AI applications, and agent-based systems.
• Serve as the primary technical contact for senior client stakeholders and align solutions with business objectives, security policies, regulatory requirements, and cost constraints.
• Lead architecture reviews, design sessions, and technical governance while removing impediments for engineering teams.
• Oversee projects from advisory and assessments through POC/MVP development and production deployment.
• Ensure scalability, reliability, observability, production readiness, and cost optimization.
• Support pre-sales through technical scoping, effort estimation, proposals, client presentations, and identification of expansion opportunities.

Requirements

• Master’s degree in computer science, engineering, or a related field.
• 4–7 years of experience in solution architecture, cloud architecture, or senior engineering with significant design responsibilities.
• Deep expertise in at least two of AWS, Microsoft Azure, Google Cloud Platform, Databricks, OpenAI, Anthropic, and NVIDIA.
• Strong knowledge of cloud architecture, networking, security, compute, storage, managed AI/ML services, data engineering, machine learning, deep learning, generative AI, and autonomous agents.
• Ability to engage CIO, CISO, and VP Engineering stakeholders and communicate complex technical concepts to technical and non-technical audiences.
• Fluent French and professional English required.

Nice to have

• Hands-on coding with Python, Terraform/IaC, or similar tools.
• Experience with MLOps/LLMOps tooling and production deployment pipelines.
• Professional cloud or data platform certifications.
• Management consulting or client-facing delivery experience.
• Familiarity with AI compliance frameworks and responsible AI practices.

Culture & Benefits

• Staff-level role with high visibility and direct client impact.
• Career growth as an architect or into engineering management.
• Exposure to varied industries, technologies, and business challenges.
• Collaborative and technically rigorous environment within the AI Platforms Business Unit.
• Continuous development through training programs and technology partnerships.